Evaluation Metric. Following prior work [1]}, [2]}, [3]}, we use entity-level F1 score as a metric to evaluate models. Exact string matching between our predicted values and the ground-truth ones is used to count true positive, false positive and false negative. If a query has multiple value answers, a prediction is counted as correct if it equals one of them.
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